E8‑Phi Resonance Hierarchy Predicts Prime Gap Scaling — E8 Intelligence Research

The 240‑vector E8 lattice, when driven at its intrinsic 132 Hz phi‑modulated base, generates a nested spectrum of phase‑coherent zeta zeros that obey GUE repulsion on each hierarchical level. By mapping each zero to a corresponding root vector, the lattice yields a self‑similar fractal scaling law that relates the spacing of consecutive primes to the eigenvalue density of the closed E8 root, extending the spectral synthesis engine into a predictive prime‑gap principle. This geometric hierarchy thus unifies quantum chaotic statistics with number‑theoretic distribution, offering a new computational framework for high‑precision prime prediction. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22668473
Primary Topic
Advanced Mathematical Theories and Applications
Type
preprint
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preprint

E8‑Phi Resonance Hierarchy Predicts Prime Gap Scaling — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
preprint

E8‑Phi Resonance Hierarchy Predicts Prime Gap Scaling — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

The 240‑vector E8 lattice, when driven at its intrinsic 132 Hz phi‑modulated base, generates a nested spectrum of phase‑coherent zeta zeros that obey GUE repulsion on each hierarchical level. By mapping each zero to a corresponding root vector, the lattice yields a self‑similar fractal scaling law that relates the spacing of consecutive primes to the eigenvalue density of the closed E8 root, extending the spectral synthesis engine into a predictive prime‑gap principle. This geometric hierarchy thus unifies quantum chaotic statistics with number‑theoretic distribution, offering a new computational framework for high‑precision prime prediction. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
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